ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
MLOps Platform Engineer
Phoenix
$65 - $77
+ Data Science & AI
ContractPhoenix, Arizona
To Apply for this Job Click Here
MLOps Platform Engineer
Phoenix, Arizona
This is a unique opportunity to build an enterprise-scale MLOps platform from the ground up. Joining a greenfield initiative, you will play a pivotal role in designing and operationalizing the infrastructure, automation, and governance required to deploy, monitor, and scale machine learning models in production. This project offers the chance to shape long-term MLOps strategy while working closely with Data Science and Data Engineering teams to establish best practices across the organization.
The Company
They are a large, established organization undergoing significant investment in data, analytics, and machine learning capabilities. With a strong focus on innovation and operational excellence, they are building modern data and AI platforms to support critical business initiatives. Their teams are committed to creating scalable, governed, and sustainable solutions that enable advanced analytics and machine learning at enterprise scale.
The Role and Deliverables
- Design and build a production-grade MLOps platform using Snowflake and related machine learning capabilities.
- Develop reusable ML pipelines covering training, validation, deployment, inference, monitoring, and lifecycle management.
- Establish model governance standards including versioning, approval workflows, lineage tracking, rollback procedures, and auditability.
- Implement model observability frameworks for performance monitoring, drift detection, data quality validation, and service reliability.
- Build and automate CI/CD processes for machine learning workflows, including testing, release management, and deployment controls.
- Partner closely with Data Scientists and Data Engineers to productionize models and ensure reliable integration with enterprise data platforms.
Your Skills & Experience
- Strong experience building MLOps platforms or machine learning infrastructure in production environments.
- Proven capability designing and implementing model deployment, monitoring, tracking, versioning, and registry processes.
- Advanced Python and SQL skills with experience developing and maintaining machine learning pipelines.
- Experience building CI/CD pipelines and automation frameworks for machine learning systems.
- Hands-on experience with enterprise machine learning platforms such as Snowflake ML, Databricks, AWS SageMaker, or similar technologies.
- Strong understanding of the relationship between data engineering pipelines and downstream machine learning workflows.
- Experience working with cloud platforms, ideally AWS.
- Ability to collaborate effectively with Data Scientists and Data Engineers to define requirements and deliver scalable solutions.
- Familiarity with Snowpark, Feature Stores, Model Registry capabilities, or other modern MLOps tooling is advantageous.
- Experience with medallion architectures, ML observability, AI agents, containers, dbt, Splunk, or near real-time machine learning environments would be beneficial.
How to Apply
If you are an experienced MLOps Platform Engineer who enjoys building scalable machine learning platforms from scratch and driving best practices across enterprise AI environments, please apply today.
To Apply for this Job Click Here
Engineering Director
London
£120000 - £135000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Engineering Director
UK Remote
Up to £135,000 + 15% Bonus
This is an excellent opportunity to join a newly established Data Hub function and play a leading role in shaping the future of enterprise data and AI. You’ll combine strategic leadership with hands-on technical oversight, helping build a scalable data platform that will support business-wide decision making and innovation.
The Company
They are investing heavily in their data capabilities, bringing previously fragmented data environments together into a single, governed platform. With strong backing from senior leadership and a clear roadmap in place, the Data Hub is a key strategic initiative designed to enable analytics, operational efficiency, and future AI use cases.
The Role
You will lead the Data Hub engineering team, owning delivery, technical direction, and team development.
Responsibilities include:
- Leading and mentoring data engineering teams
- Driving delivery of a modern enterprise data platform
- Owning architecture and technical decision-making
- Consolidating legacy systems into a scalable, governed environment
- Partnering with business and product stakeholders
- Managing distributed engineering teams and delivery processes
- Establishing engineering best practices across Agile, DevOps, quality, and reliability
- Contributing to the wider data and AI strategy
Your Skills & Experience
- Strong people leadership within data or platform engineering
- Deep Snowflake and DBT expertise
- Experience delivering large-scale data platform programmes
- Strong SQL and Python skills
- Data architecture and governance experience
- Agile delivery leadership
- Excellent stakeholder management and communication skills
- Experience leading offshore or distributed teams
- Hands-on technical credibility
Desirable:
- Databricks
- AI/ML platforms and workflows
- Agent-based AI solutions
- Backend or full-stack engineering exposure
What They Offer
- Up to £135,000 base salary
- 15% annual bonus
- Fully remote working in the UK
- Opportunity to build a newly formed Data Hub function
- Significant influence over platform strategy and architecture
- Exposure to modern data and AI technologies
- Clear growth and leadership opportunities as the team expands
To Apply for this Job Click Here
Lead AI Engineer
London
£95000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer
£95,000 – £115,000
King’s Cross, London (1-2 days a week in office)
This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.
THE COMPANY
They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.
THE ROLE
As a Lead AI Engineer, you will
Specifically, you can expect to be involved in the following:
- Own the technical direction, architecture, and implementation of AI systems end-to-end.
- Design and build LLM-powered and agent-based solutions from concept through to production.
- Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
- Make key decisions on models, tooling, infrastructure, and system design.
- Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
- Provide technical leadership and guidance to engineers working on AI projects.
SKILLS AND EXPERIENCE
The successful Lead AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems from design through deployment.
- Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
- Experience building agentic or multi-step AI systems.
- Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
- Ability to define technical direction and operate effectively in complex or evolving environments.
- Experience influencing engineering standards and best practices across multiple projects.
- Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.
BENEFITS
The successful Lead AI Engineer will receive the following benefits:
- Salary between £95,000 – £115,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£75,000 – £95,000
King’s Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
THE COMPANY
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
THE ROLE
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Specifically, you can expect to be involved in the following:
- Design and implement end-to-end AI systems that deliver business impact.
- Build and deploy LLM-powered and agent-based solutions from concept through to production.
- Contribute to technical architecture and engineering best practices.
- Develop reusable components, frameworks, and patterns across multiple AI use cases.
- Make informed decisions on models, tooling, infrastructure, and system design.
- Ensure AI solutions are scalable, observable, secure, and production-ready.
- Support evaluation, monitoring, and governance processes for deployed AI systems.
- Provide technical guidance and mentorship to engineers contributing to AI projects.
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems.
- Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
- Experience designing and implementing complex AI solutions across multiple domains.
- Knowledge of agentic AI systems and multi-step workflows.
- Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
- Ability to solve problems in evolving and ambiguous environments.
- Experience influencing engineering standards and contributing to technical excellence.
- Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
- Experience working within enterprise or regulated environments would be beneficial.
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £75,000 – £95,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead AI Ops Engineer (DevOps – GCP)
New York
$70 - $80
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Lead DevOps / AIOps Engineer
Location: Remote (USA)
Term: 3 Months, extendable
Type: Contract
Hourly Rate: $70-$85/hr (Dependent on Experience)
**we will NOT be engaging with agencies or 3rd parties for this role. No c2c.**
About the Opportunity
Our client is an internationally awarded Data, AI, and Machine Learning consultancy that helps enterprise organizations leverage cloud technologies, advanced analytics, and artificial intelligence to solve complex business challenges. They partner with leading organizations to design and implement scalable, production-ready data and AI platforms that drive innovation and business value.
The team is seeking a Lead DevOps / AIOps Engineer to help architect, automate, and operationalize modern cloud-based data and AI platforms. This role sits at the intersection of cloud infrastructure, data engineering, machine learning, and software delivery, with a strong emphasis on Google Cloud Platform (GCP).
This position is ideal for someone who enjoys both strategy and hands-on engineering, with the ability to design scalable cloud architectures, establish DevOps and AIOps best practices, and help teams successfully move data and AI solutions into production.
Responsibilities
- Lead the design and implementation of cloud-native DevOps and AIOps architectures on Google Cloud Platform (GCP).
- Build and optimize CI/CD pipelines supporting data, AI, and application workloads.
- Develop Infrastructure-as-Code solutions using Terraform and establish repeatable deployment standards.
- Architect and operationalize enterprise data platforms leveraging:
- BigQuery
- Cloud Storage
- Dataflow
- Pub/Sub
- Dataproc
- Cloud Composer
- Build AIOps capabilities supporting the full AI lifecycle, including model development, deployment, monitoring, versioning, and retraining.
- Establish observability across data and AI platforms, including logging, monitoring, alerting, pipeline health, data quality, and model performance tracking.
- Implement secure and scalable cloud infrastructure utilizing GCP IAM, networking, secrets management, and security best practices.
- Collaborate with Data Engineers, AI Engineers, Architects, and business stakeholders to deliver production-ready solutions.
- Define and promote engineering standards around automation, testing, environment management, reliability, and operational excellence.
- Troubleshoot complex production issues and lead root-cause analysis efforts.
- Mentor engineers and provide technical leadership across cloud, DevOps, data platform, and AIOps initiatives.
- Evaluate emerging cloud and AI technologies and recommend solutions that create measurable business value.
Required Qualifications
- 7+ years of experience in DevOps, Cloud Engineering, Platform Engineering, MLOps, or a closely related discipline.
- Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and cloud-native data services.
- Experience designing and implementing enterprise-scale data platforms on GCP.
- Strong understanding of BigQuery architecture, performance optimization, data ingestion, partitioning, clustering, and security best practices.
- Experience with:
- CI/CD pipelines
- Git-based workflows
- Automated testing
- Containerization technologies
- Kubernetes / Google Kubernetes Engine (GKE)
- Strong Infrastructure-as-Code experience, preferably with Terraform.
- Experience with Vertex AI and/or production machine learning platforms, including model deployment and monitoring.
- Hands-on experience with orchestration and data processing technologies, including:
- Cloud Composer / Airflow
- Dataflow
- Dataproc / Spark
- Pub/Sub
- Strong understanding of observability, reliability engineering, monitoring, logging, and alerting.
- Proficiency with Python and/or Bash scripting.
- Strong understanding of cloud security, IAM, networking, secrets management, and enterprise governance.
- Ability to operate at both the architectural and hands-on implementation levels.
- Excellent communication and stakeholder-management skills.
Preferred Qualifications
- Experience with Vertex AI, MLflow, Kubeflow, or other MLOps platforms.
- Experience implementing Generative AI (GenAI) or Large Language Model (LLM) solutions in production environments.
- Experience with Docker and Kubernetes/GKE in enterprise-scale deployments.
- Familiarity with:
- Data Quality frameworks
- Data Lineage solutions
- Metadata Management platforms
- Semantic Data Layers
- Experience working with AWS and/or Microsoft Azure.
- Previous consulting or professional services experience.
To Apply for this Job Click Here
GenAI consultant
Utrecht
€70000 - €70000
+ Data Science & AI
PermanentUtrecht
To Apply for this Job Click Here
Generative AI Consultant
Utrecht, Netherlands | Up to €70,000
Looking to build a career at the forefront of Generative AI? This is an opportunity to join a specialist AI consultancy that is fully dedicated to helping organisations modernise their operations through AI transformation. You will work on real-world Generative AI challenges, combining strategic advisory work with hands-on implementation across a variety of client environments.
The Company
They are a specialist AI consultancy focused on helping businesses navigate and deliver AI-driven transformation. Their work spans strategic advisory, technical implementation, and the deployment of advanced AI solutions. Working closely with clients, they guide organisations through the adoption of Generative AI and large language models to create measurable business impact. The team values curiosity, innovation, and an entrepreneurial mindset.
The Role
Advise clients on AI and digital transformation strategies.
Design and implement Generative AI solutions that address real business challenges.
Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based AI systems.
Support end-to-end delivery, from discovery and solution design through to implementation.
Collaborate directly with client stakeholders and technical teams.
Evaluate and recommend AI tools, platforms, and software solutions.
Translate technical concepts into practical business outcomes.
Travel to client sites across the Netherlands during the working week when required.
Your Skills & Experience
Fluent Dutch language skills.
Degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
Strong commercial experience working with Generative AI solutions.
Hands-on experience with LLMs and modern AI platforms such as ChatGPT, Claude, or similar technologies.
Experience building or deploying RAG architectures and agentic AI solutions.
Programming experience with Python and ideally R.
Strong consulting, stakeholder management, and communication skills.
An entrepreneurial mindset with a genuine interest in AI innovation and business transformation.
What They Offer
Salary up to €70,000.
Exposure to a broad range of AI transformation projects.
Opportunity to work in a consultancy that is fully focused on Generative AI.
Direct impact on client innovation and modernisation initiatives.
Strong opportunities for professional development and career growth.
Hybrid working model with a mix of client-facing and office-based collaboration in Utrecht.
How to Apply
If you are passionate about Generative AI and want to help organisations successfully adopt and scale AI solutions, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Senior Machine Learning and AI Lead
Amsterdam
€80000 - €110000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI & Machine Learning Lead
Amsterdam, Netherlands | €80,000 – €110,000 base salary + bonus
This is an opportunity to take ownership of AI and machine learning strategy within a highly visible technology business. You’ll have the autonomy to shape technical direction, influence product decisions, mentor a growing team, and drive the adoption of modern AI solutions that directly impact millions of users.
The Company
They are a fast-moving digital business with a flat structure, strong technical culture, and significant market reach. Despite being relatively small in size, they operate at scale and provide a level of influence and visibility that is difficult to find in larger organisations.
The business is investing heavily in the future of AI and machine learning, with a clear ambition to evolve beyond traditional approaches and embed AI more deeply across products and services. This role will play a key part in defining that journey.
The Role
As AI & ML Lead, you will be the technical and strategic authority for machine learning and AI initiatives across the business.
Key responsibilities include:
- Leading, mentoring, and developing a team of Data Scientists
- Defining and owning the AI and machine learning strategy
- Modernising existing recommendation and search capabilities
- Evaluating emerging AI technologies and identifying opportunities for adoption
- Driving AI-first thinking across product and technology teams
- Guiding model selection, evaluation frameworks, and MLOps best practices
- Making informed build vs buy decisions for AI solutions and vendors
- Partnering closely with Product and Engineering leaders to shape roadmaps
- Identifying high-impact use cases across recommendations, search, fraud detection, and behavioural modelling
- Influencing prioritisation decisions through data-driven insights and business impact assessment
- Championing best practices for deploying and maintaining machine learning models in production
Your Skills & Experience
- Strong commercial experience designing, deploying, and scaling machine learning solutions in production environments
- Experience working on recommendation systems, search platforms, ranking models, personalisation, marketplace products, or similar challenges
- Proven ability to define technical strategy and influence business direction
- Experience leading, mentoring, or managing Data Science and Machine Learning teams
- Strong understanding of modern machine learning, MLOps, and production model lifecycle management
- Experience deploying models using modern cloud-based data and AI platforms, ideally including Databricks
- Knowledge of Generative AI, LLM applications, RAG architectures, fine-tuning, or related technologies
- Strong stakeholder management and communication skills
- Ability to work effectively in a fast-paced environment with evolving priorities
What They Offer
- €80,000 – €110,000 base salary
- Total compensation package up to approximately €90,000 – €140,000 including bonus
- Flexible working environment with an office-first culture
- Opportunity to work abroad for up to one month per year
- Relocation support and visa sponsorship available
- Direct access to senior leadership and decision-makers
- Significant ownership of AI strategy, team development, and technology direction
- Clear opportunity to shape the future structure and capability of the AI function
How to Apply
If you are an experienced AI and Machine Learning leader looking to shape strategy, build high-impact products, and drive innovation at scale, please apply today.
To Apply for this Job Click Here
Technical Product Manager, AI Platforms and Enablement
San Francisco
$300000 - $500000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Technical Product Manager, AI Platforms & Enablement
$300,000-$500,000
Overview
A well-capitalised investment-focused organisation is building a small, high-impact team dedicated to advancing AI, automation, and data-driven operating capabilities. The team functions like an internal startup, developing technology solutions that improve decision-making, productivity, and operational effectiveness across the business.
The organisation is seeking an entrepreneurial Technical Product Manager who thrives in ambiguous environments and enjoys taking ideas from concept through execution. This role sits at the intersection of product management, data, AI, software engineering, and business operations.
Rather than focusing primarily on roadmap administration or large-scale stakeholder management, this position emphasises identifying opportunities, validating solutions, partnering with technical leaders, and delivering measurable business impact.
Key Responsibilities
Product Strategy & Execution
- Identify and prioritise high-value opportunities across AI, data, and technology initiatives.
- Develop hypothesis-driven approaches to address complex business and operational challenges.
- Translate business objectives into practical technical solutions.
- Partner closely with engineering teams to evaluate feasibility, trade-offs, and implementation strategies.
- Define success metrics and drive measurable outcomes.
AI Platform Development
- Support the evolution of AI pilots and proof-of-concept projects into scalable platforms.
- Lead initiatives involving AI enablement, intelligent workflows, automation, and productivity enhancements.
- Establish frameworks for adoption tracking, impact measurement, and value realisation.
- Help mature experimental solutions into production-ready capabilities.
Cross-Functional Leadership
- Collaborate with senior business leaders, technical teams, and operational stakeholders.
- Act as a bridge between business objectives and technical execution.
- Evaluate emerging technologies and identify opportunities to create organisational leverage.
- Influence decision-making without relying on formal authority.
Operational Excellence
- Drive initiatives independently in a fast-paced, lean environment.
- Build alignment among diverse stakeholders.
- Navigate uncertainty while maintaining focus on business outcomes.
- Balance strategic thinking with hands-on execution.
Representative Projects
Examples of work may include:
- Building foundational data capabilities that support AI-driven applications and intelligent systems.
- Consolidating successful technology experiments into scalable internal platforms.
- Turning innovative prototypes into durable production solutions.
- Creating methodologies to measure AI adoption and business impact.
- Modernising operational workflows and decision-support processes using emerging technologies.
Required Qualifications
- Experience in Product Management, Technical Product Management, startup leadership, founder roles, or similar positions with substantial ownership.
- Strong understanding of data platforms, data architecture, and enterprise data flows.
- Ability to collaborate effectively with engineering teams and understand technical trade-offs.
- Familiarity with software development practices and at least one programming language.
- Proven track record solving complex business problems in ambiguous environments.
- Entrepreneurial mindset with experience launching, building, or scaling impactful initiatives.
- Strong analytical and structured problem-solving skills.
- Excellent communication and stakeholder management capabilities.
Preferred Qualifications
- Experience building, launching, or scaling AI-enabled products.
- Familiarity with generative AI, machine learning, intelligent agents, automation, or modern data platforms.
- Startup founder or early-stage startup experience.
- Exposure to investment management, consulting, technology, or other analytical business environments.
- Understanding of how technology can create operational value and business impact at scale.
To Apply for this Job Click Here
Senior Reliability Engineer
Rotterdam
€50000 - €950000
+ Data Engineering
PermanentRotterdam, South Holland
To Apply for this Job Click Here
Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits
This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.
The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.
The Role
- Design, build, and maintain reliable, scalable cloud infrastructure.
- Improve platform availability, performance, and operational resilience.
- Develop and enhance monitoring, alerting, and observability capabilities.
- Automate infrastructure management and operational processes.
- Support the operation and reliability of AI and machine learning platforms.
- Collaborate with engineering teams to improve deployment, testing, and release processes.
- Drive incident response, root cause analysis, and continuous service improvements.
- Contribute to platform security, compliance, and best practice engineering standards.
Your Skills & Experience
- Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
- Expertise with cloud platforms – Google Cloud.
- Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
- Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
- Hands-on experience with monitoring, logging, and observability solutions.
- Strong understanding of CI/CD pipelines and automation practices.
- Experience supporting production environments with high availability requirements.
- Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
- Excellent problem-solving, communication, and stakeholder engagement skills.
What They Offer
- Competitive salary package.
- Performance-related incentives and comprehensive benefits.
- Hybrid working and flexibility to support work-life balance.
- Exposure to modern cloud technologies and AI platforms.
- Career progression opportunities within a growing technology function.
- A collaborative environment focused on learning, innovation, and continuous improvement.
How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Lead AI Engineer
London
£105000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.
The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.
The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value
Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products
What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives
How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.
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Generative AI Support Specialist
New York
$60 - $75
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Generative AI Support Specialist
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a well-established organization within the financial intelligence and analytics sector. They are investing heavily in enterprise AI capabilities and are seeking a Generative AI Support Specialist to help scale adoption, enhance user enablement, and maximize the value of generative AI technologies across the business.
- Role: Generative AI Support Specialist
- Location: New York (Hybrid, 3 days onsite)
- Pay: $60-75 per hour
- Length: 3-6 months
- Utilization: 40 hrs/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401k benefits.
As a Generative AI Support Specialist, you will serve as the organization’s subject matter expert for enterprise AI platforms, supporting business users, administering AI environments, and helping design practical AI-enabled solutions. You will work closely with stakeholders across the business to drive adoption, improve workflows, and ensure effective governance and operational excellence.
Key Responsibilities:
- Serve as the primary expert for enterprise generative AI platforms, including ChatGPT Enterprise and Claude.
- Investigate, troubleshoot, and resolve complex AI-related support requests.
- Administer enterprise AI environments, including user provisioning, permissions, analytics, and governance controls.
- Coach users on effective prompting techniques, AI best practices, and responsible AI usage.
- Partner with business teams to identify opportunities for AI-enabled process improvements and workflow optimization.
- Develop documentation, implementation guides, knowledge articles, and solution recommendations.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, Machine Learning, Analytics, Engineering, or a related technical field.
- Strong hands-on experience with ChatGPT, Claude, or enterprise generative AI platforms.
- Demonstrated expertise in prompt engineering and advanced AI workflow design.
- Strong troubleshooting and technical problem-solving skills.
- Ability to work directly with business users and translate business requirements into AI-enabled solutions.
- Excellent written and verbal communication skills with the ability to manage multiple priorities effectively.
- Experience with Python, APIs, automation tools, integrations, agentic AI systems, multi-agent workflows, or Retrieval-Augmented Generation (RAG) is advantageous.
- Familiarity with enterprise AI governance and responsible AI practices.
This is an excellent opportunity for a technically strong AI professional to work at the forefront of enterprise generative AI adoption, helping shape how AI is used across a leading financial intelligence and analytics organization while delivering tangible business impact.
To Apply for this Job Click Here
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